Dynamic Implement Radial Basis Function Networks
碩士 === 國立政治大學 === 應用數學研究所 === 98 === During recent years, applying Radial Basis Function Networks (RBFN) to time series problems yields many important results. In this thesis, we try to implement a cross-platform computer tool that can easily construct a RBFN applied to time series forecasting probl...
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/64084175049885455739 |